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Optimal power allocation for harvesting based wireless control systems: To listen or not to listen to channel information
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Signals and Systems. Tech Univ Berlin, Fak 3, Chair Control, Berlin, Germany..ORCID iD: 0000-0002-4413-4225
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Signals and Systems.ORCID iD: 0000-0001-9066-5468
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Signals and Systems.ORCID iD: 0000-0003-0762-5743
2022 (English)In: IFAC-PapersOnLine, E-ISSN 2405-8963, Vol. 55, no 13, p. 252-257Article in journal (Refereed) Published
Abstract [en]

This paper studies a wireless sensor system, where packeted information is transmitted to a receiver over a fading channel. The sensor's transmission energy can be chosen within a given interval. To obtain the current channel gain information, the sensor may listen to a pilot signal from the receiver and estimate the channel, which requires energy. When the sensor does not listen to the pilot signal, the transmission energy has to be estimated solely based on other information like the channel gain distribution and past channel information. The sensor is equipped with an energy harvester and a rechargeable battery to temporarily store the harvested energy. The paper derives the optimal energy allocation policy, shows structural properties of the optimal solution and derives a heuristic suboptimal energy allocation policy. The performance of the optimal policy is compared with several other simple policies through numerical examples.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 55, no 13, p. 252-257
Keywords [en]
energy harvesting, fading channels, optimal energy allocation, Markov decision process
National Category
Communication Systems Telecommunications
Identifiers
URN: urn:nbn:se:uu:diva-485957DOI: 10.1016/j.ifacol.2022.07.268ISI: 000852734000043OAI: oai:DiVA.org:uu-485957DiVA, id: diva2:1700314
Conference
9th IFAC Conference on Networked Systems (NECSYS), JUL 05-07, 2022, Zurich, SWITZERLAND
Available from: 2022-09-30 Created: 2022-09-30 Last updated: 2022-09-30Bibliographically approved

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Knorn, SteffiAhlén, AndersDey, Subhrakanti

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